This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output. It leverages diffusion techniques to upscale images while allowing for the adjustment of scale ratio and noise augmentation to fine-tune the enhancement process.

## Inputs

| Parameter | Description | Comfy dtype |
| --- | --- | --- |
| `images` | The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images. | `IMAGE` |
| `positive` | Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images. | `CONDITIONING` |
| `negative` | Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features. | `CONDITIONING` |
| `scale_ratio` | Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity. | `FLOAT` |
| `noise_augmentation` | Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images. | `FLOAT` |

## Outputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `positive` | The refined positive conditioning elements resulting from the upscale process. | `CONDITIONING` |
| `negative` | The refined negative conditioning elements resulting from the upscale process. | `CONDITIONING` |
| `latent` | A latent representation generated during the upscale process, which can be utilized in further processing or model training. | `LATENT` |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Sd4xupscaleConditioning/en.md)